Microsoft 365 Backup vs Archive vs Retention vs Inactive Mailbox
Microsoft 365 Backup, M365 Archive, Purview retention, EOA, and inactive mailbox - what each one actually does, and where third-party archivers fit.
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MCP Servers Are Becoming a Core Interface Layer in Data Observability and Data Quality
Data observability has traditionally been built around human workflows. When data breaks, engineers are alerted, open dashboards, inspect lineage graphs, and manually trace the issue across pipelines. The system is designed for human investigation and interpretation. That model is now being challenged by the rise of AI agents in data operations. As organizations begin embedding AI into analytics, engineering, and decision-making workflows, observability is no longer just about explaining what happened - it must also enable systems to understand and act on it.
Add custom metadata to your monitors
We’re excited to introduce monitor metadata, a new feature available in the General tab of monitor settings. You can now add custom key/value metadata to monitors, making it easier to organize resources and add operational context to alerts and integrations.
API update: Full board management now available
We’re excited to announce expanded functionality for the StatusGator Boards API. You can now create new boards, update existing boards, and delete boards directly through the API. Previously, the Boards API only supported listing boards and retrieving board details. With these new capabilities, you can automate the complete board lifecycle – from provisioning new boards to managing ownership and cleaning up boards that are no longer needed.
SQL Prompt Product Updates - June 2026
SQL Prompt's May releases focused on a new Redgate Data Modeler integration, a unified Toolbelt Essentials installer flow, and several improvements to Prompt AI reliability.
Field Service Costs and Your P&L: How Search Time Quietly Drains Both
At least 30 minutes disappear before the average field technician can begin the actual repair. That time goes into searching for part numbers, procedures, and documentation across fragmented systems. Across 1,000 technicians and 250 working days, even this conservative estimate adds up to at least 125,000 hours of productive capacity lost to lookup activity. Yet this loss rarely appears as a separate line item on any field service P&L. This is a critical information architecture problem.
Progress Wins at the Network Computing Awards
Progress has been named a winner at this year's Network Computing Awards, earning industry recognition for its ongoing commitment to innovation and delivering real-world value to customers. A standout event in the UK technology calendar, the Network Computing Awards celebrate organizations and solutions that are driving measurable impact across the industry.
How to Set up QR Code Asset Tracking For Manufacturing: A Step-by-Step Guide With InvGate Asset Management
In manufacturing environments, keeping accurate records of physical assets is harder than it sounds. Equipment moves between shifts, changes hands without notice, and ends up somewhere different from where it was last logged. QR code asset tracking for manufacturing solves that problem with a lightweight, low-cost method. Each asset gets a printed label. Any team member with a smartphone can scan it, pull up the full asset profile, and update information on the spot.
Errors, traces, logs, metrics: when to reach for what
When should I reach for a log, a trace, or a metric? I hit that question constantly when I instrument code, and I watch coding agents hit it too. It sounds like it should be obvious. Errors, traces, logs, and metrics are the four kinds of telemetry most apps run on, four tools in one box, and they overlap enough that the honest answer is every developer’s favourite: it depends. You can stuff context into span attributes instead of logging it. You can count log events instead of emitting a metric.
Give your AI agents live Datadog access from the command line
AI agents are becoming a standard part of how engineers write, deploy, and troubleshoot software. Getting observability data into those workflows, securely and without manual intervention, remains the harder problem.